Statistics functions

[shssf]

Need to implement following functions as described here Statistics functions

Order statistics

• [x] amin(a[, axis, out, keepdims, initial, where]) Return the minimum of an array or minimum along an axis.
• [x] amax(a[, axis, out, keepdims, initial, where]) Return the maximum of an array or maximum along an axis.
• [x] nanmin(a[, axis, out, keepdims]) Return minimum of an array or minimum along an axis, ignoring any NaNs.
• [x] nanmax(a[, axis, out, keepdims]) Return the maximum of an array or maximum along an axis, ignoring any NaNs.
• [x] ptp(a[, axis, out, keepdims]) Range of values (maximum - minimum) along an axis.
• [ ] percentile(a, q[, axis, out, …]) Compute the q-th percentile of the data along the specified axis.
• [ ] nanpercentile(a, q[, axis, out, …]) Compute the qth percentile of the data along the specified axis, while ignoring nan values.
• [ ] quantile(a, q[, axis, out, overwrite_input, …]) Compute the q-th quantile of the data along the specified axis.
• [ ] nanquantile(a, q[, axis, out, …]) Compute the qth quantile of the data along the specified axis, while ignoring nan values.

Averages and variances

• [x] median(a[, axis, out, overwrite_input, keepdims]) Compute the median along the specified axis.
• [x] average(a[, axis, weights, returned]) Compute the weighted average along the specified axis.
• [x] mean(a[, axis, dtype, out, keepdims]) Compute the arithmetic mean along the specified axis.
• [x] std(a[, axis, dtype, out, ddof, keepdims]) Compute the standard deviation along the specified axis.
• [x] var(a[, axis, dtype, out, ddof, keepdims]) Compute the variance along the specified axis.
• [x] nanmedian(a[, axis, out, overwrite_input, …]) Compute the median along the specified axis, while ignoring NaNs.
• [x] nanmean(a[, axis, dtype, out, keepdims]) Compute the arithmetic mean along the specified axis, ignoring NaNs.
• [x] nanstd(a[, axis, dtype, out, ddof, keepdims]) Compute the standard deviation along the specified axis, while ignoring NaNs.
• [x] nanvar(a[, axis, dtype, out, ddof, keepdims]) Compute the variance along the specified axis, while ignoring NaNs.

Correlating

• [x] corrcoef(x[, y, rowvar, bias, ddof]) Return Pearson product-moment correlation coefficients.
• [x] correlate(a, v[, mode]) Cross-correlation of two 1-dimensional sequences.
• [x] cov(m[, y, rowvar, bias, ddof, fweights, …]) Estimate a covariance matrix, given data and weights.

Histograms

• [x] histogram(a[, bins, range, normed, weights, …]) Compute the histogram of a set of data.
• [x] histogram2d(x, y[, bins, range, normed, …]) Compute the bi-dimensional histogram of two data samples.
• [x] histogramdd(sample[, bins, range, normed, …]) Compute the multidimensional histogram of some data.
• [x] bincount(x[, weights, minlength]) Count number of occurrences of each value in array of non-negative ints.
• [x] histogram_bin_edges(a[, bins, range, weights]) Function to calculate only the edges of the bins used by the histogram function.
• [x] digitize(x, bins[, right]) Return the indices of the bins to which each value in input array belongs.